// SPDX-FileCopyrightText: NVIDIA CORPORATION & AFFILIATES
// Copyright (c) 2020-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
// SPDX-License-Identifier: Apache-2.0
#ifndef NVIDIA_GXF_NPP_NPPI_MUL_C_HPP
#define NVIDIA_GXF_NPP_NPPI_MUL_C_HPP

#include <vector>

#include "gxf/core/parameter_parser_std.hpp"
#include "gxf/std/allocator.hpp"
#include "gxf/std/codelet.hpp"
#include "gxf/std/receiver.hpp"
#include "gxf/std/transmitter.hpp"

namespace nvidia {
namespace gxf {

// Multiplies a CUDA tensor with a constant factor using NPP.
class NppiMulC : public Codelet {
 public:
  virtual ~NppiMulC() = default;

  gxf_result_t registerInterface(Registrar* registrar) override;
  gxf_result_t tick() override;

 private:
  Parameter<Handle<Receiver>> in_;
  Parameter<std::vector<double>> factor_;
  Parameter<Handle<Allocator>> pool_;
  Parameter<Handle<Transmitter>> out_;
};

}  // namespace gxf
}  // namespace nvidia

#endif
